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Article

An Intelligent Control Method Based on the Hybrid Algorithm for PEMFC Stack Cathode Air-Feeding and Thermal Control

1
School of Energy and Power, Jiangsu University of Science and Technology, Zhenjiang 212100, China
2
College of Electrical Engineering, Jiangxi Polytechnic University, Jiujiang 332007, China
*
Author to whom correspondence should be addressed.
Batteries 2026, 12(9), 371; https://doi.org/10.3390/batteries12090371 (registering DOI)
Submission received: 18 August 2026 / Revised: 11 September 2026 / Accepted: 16 September 2026 / Published: 17 September 2026
(This article belongs to the Special Issue Next-Generation Proton Exchange Membrane Fuel Cells (PEMFCs))

Abstract

The air-feeding system of a proton exchange membrane fuel cell (PEMFC) delivers oxygen for electrochemical reactions while critically influencing stack power, efficiency, and durability. Compared to hydrogen supply, air management poses greater technical challenges owing to the need for precise dynamic control, composition regulation, and impurity tolerance. Thermal management similarly governs reaction kinetics, water–thermal balance, and material longevity. To address the coupling between these two subsystems, this study proposes hybrid intelligent control architecture. For the highly nonlinear air supply system, a nonlinear enhanced sliding mode controller (ASMC) is developed that achieves finite-time convergence with improved response speed and reduced delay. For thermal management, a PID controller optimized by the RIME (Rime Ice Optimization) algorithm is designed. The coordinated strategy maintains optimal reaction conditions and meets dynamic power demands, thereby ensuring safe, efficient, and sustainable fuel cell operation. Simulation results demonstrate that the proposed ASMC reduces rise time by 85.0% compared to model predictive control and by 70.0% versus standard sliding mode control, with steady-state error 60.0% lower than that of fuzzy logic control. In thermal management, the RIME-optimized PID controller achieves rapid temperature stabilization within the optimal range, requiring 22.0% fewer iterations than the marine predator algorithm. The integrated control architecture effectively decouples air supply and thermal regulation objectives, providing a robust solution for PEMFC system operation.
Keywords: PEMFC; RIME algorithm; air-feeding control; thermal control; sliding mode control PEMFC; RIME algorithm; air-feeding control; thermal control; sliding mode control

Share and Cite

MDPI and ACS Style

Feng, J.; Zhou, S. An Intelligent Control Method Based on the Hybrid Algorithm for PEMFC Stack Cathode Air-Feeding and Thermal Control. Batteries 2026, 12, 371. https://doi.org/10.3390/batteries12090371

AMA Style

Feng J, Zhou S. An Intelligent Control Method Based on the Hybrid Algorithm for PEMFC Stack Cathode Air-Feeding and Thermal Control. Batteries. 2026; 12(9):371. https://doi.org/10.3390/batteries12090371

Chicago/Turabian Style

Feng, Jianan, and Shengwu Zhou. 2026. "An Intelligent Control Method Based on the Hybrid Algorithm for PEMFC Stack Cathode Air-Feeding and Thermal Control" Batteries 12, no. 9: 371. https://doi.org/10.3390/batteries12090371

APA Style

Feng, J., & Zhou, S. (2026). An Intelligent Control Method Based on the Hybrid Algorithm for PEMFC Stack Cathode Air-Feeding and Thermal Control. Batteries, 12(9), 371. https://doi.org/10.3390/batteries12090371

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